RoboLDA: A Probabilistic Generative Model for Uncovering Embodied Hierarchical Structures in Voxel-based Soft Robots

arXiv:2609.29490 · cs.RO, cs.AI · Submitted 2026-08-24 · Read on arXiv

cs.RO, cs.AI

Submitted: 2026-08-24

Updated: 2026-08-24

Terminology

• Ablation — 9× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Generative Model — 7× in this paper · explained in 2 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Genetic Algorithm — 5× in this paper
• Latent Dirichlet Allocation — 5× in this paper
• Robustness — 5× in this paper · explained in 5 episodes
• Adaptability — 3× in this paper · explained in 1 episode
• Bayesian Optimization — 3× in this paper · explained in 3 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Generalizability — 3× in this paper · explained in 6 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Generative Modeling — 3× in this paper · explained in 3 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Proximal Policy Optimization — 3× in this paper
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Reward Function — 3× in this paper · explained in 2 episodes
• Sim-to-Real Transfer — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Closed-Loop Optimization — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• International Conference on Robotics and Automation — 2× in this paper
• Proximal Policy Optimization (PPO) — 2× in this paper · explained in 4 episodes
• Zero-Shot Transfer — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Acquisition Function — 1× in this paper · explained in 1 episode
• Activation Function — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Affinity Propagation — 1× in this paper
• Bayesian Optimization (BO) — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Logistic Normal — 1× in this paper
• Objective Function — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• Natural Selection via Foundation Models for Soft Robot Evolution
• MetaMorph: Learning Universal Controllers with Transformers
• HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling
• DiffTaichi: Differentiable Programming for Physical Simulation
• Auto-Encoding Variational Bayes
• RoboDesign1M: A Large-scale Dataset for Robot Design Understanding
• Generating Freeform Endoskeletal Robots
• Evolutionary Brain-Body Co-Optimization Consistently Fails to Select for Morphological Potential
• Proximal Policy Optimization Algorithms
• Autoencoding Variational Inference For Topic Models
• Neural Graph Evolution: Towards Efficient Automatic Robot Design
• Dynamics-Guided Diffusion Model for Sensor-less Robot Manipulator Design

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